Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences
January 13, 2021, 9:32AM

The National Science Foundation invited academics to answer the question "What should undergraduate STEM education look like in 2040 and beyond?." The Integrated Statistics Learning Environment (ISLE) is a browser-based educational platform that supports data analysis as well as report writing, presentations, lecture slides, videos and student-instructor interaction. More info, and Professor Nugent's video "Personalized Learning Environments for Student-Centric STEM" can be found here.

December 7, 2020, 11:47AM

The Statistics & Data Science Department alumni and affiliated faculty member started with the Penguins as a consultant. Follow his career path here.

November 2, 2020, 12:39PM

NeurIPS is one of the premier conferences on machine learning, and includes a wide audience of researchers and practitioners in academia, industry, and related fields. Four department PhD students had three first-authored Proposal Track papers accepted for the workshop Tackling Climate Change with Machine Learning, which will be held in December.

1) Trey McNeely and Nic Dalmasso with a Spotlight Talk (Proposal Track) on Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning (joint work with Kim Wood and Ann Lee)

2) Lorenzo Tomaselli with a Spotlight Talk (Proposal Track) on Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management (joint work with Coty Jen and Ann Lee)

3) Nic Dalmasso and Galen Vincent with a Poster (Proposal Track) on HECT: High-Dimensional Ensemble Consistency Testing for Climate Models (joint work with Dorit Hammerling and Ann Lee)

October 14, 2020, 8:35AM

Since the pandemic became a reality, our CMU Delphi group (traditionally focused on influenza tracking and forecasting) has grown both in size and scope, and our focus has been almost entirely operational: doing whatever we can to support the COVID-19 response in the US. Read the Delphi Blog.

October 12, 2020, 9:52AM

The COVIDcast project is about building and providing an ecosystem for COVID-19 tracking and forecasting. Read the interview here.

September 9, 2020, 8:50AM

Along with two Stanley Cup rings, Sam now has the honor of being named to the sports website's list of the best and brightest young people shaping hockey's future. Read more here.

August 13, 2020, 10:51AM

One reason has received too little attention: scientists, and science journalists, too often exaggerate results. Watch his lecture “Exaggerated Claims Undermine Science by Ignoring the Scientific Method,” here.

June 25, 2020, 1:40PM

Stats+Stories is a podcast about the statistics behind the stories and the stories behind the statistics. Listen to the podcast here.

June 15, 2020, 1:20PM

Carnegie Mellon University is collaborating with the pharmaceutical company Novartis to develop new statistical methods that could improve personalized medical treatments.

May 18, 2020, 1:20PM

"University Professors are distinguished by international recognition and for their contributions to education, artistic creativity and/or research," said Provost Jim Garrett. "Each University Professor exemplifies a high level of professional achievement and an exceptional commitment to academic excellence at our university." Garrett said the professors were nominated and recommended by academic leaders and faculty who have achieved the designation of University Professor.

Kathryn holds appointments in the Department of Statistics & Data Science and the Computational Biology Department. She also served as the university's vice provost for faculty from July 2015 through June 2019.

She started her research career in biology but was soon drawn to statistics. Her first major data project was in DNA forensics, helping to solidify the credibility of this form of evidence in the judicial system. As her scientific career advanced, she transitioned to developing statistical and machine learning tools for finding associations or patterns in data. She focuses on high-dimensional inference problems with applications such as analyzing variation in the...

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